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Glide, AutoDOCK) Experience with molecular dynamics simulation packages (AMBER, NAMD, GROMACS) Familiarity with high-performance computing or GPU-accelerated simulations Interest in G protein-coupled
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performance in hydrogenation, dehydrogenation, and hydrogen transfer reactions. Detailed characterization and kinetic studies will be performed to test computational predictions and microkinetic models, and to
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remediation and environmental restoration. The position is connected to the Ocean Intelligence under the Fjordlab initiative, an interdisciplinary research program integrating environmental monitoring
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31st March 2026 Languages English English English The Department of Computer Science has a vacancy for a Postdoctoral Fellow in Emerging GPAI Capabilities and Risks Apply for this job See
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computing on high-performance supercomputers such as Saga and LUMI to accelerate drug candidate identification. The position may include secondments to industry partners for biophysical analyses (X-ray
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, SES, mental health, and educational performance, the project will be in the position to consider the entire country since 1940. A population-based cohort study comprising 100 000 genotyped families with
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-Performance-computing systems is a requirement. Experience with programming and scripting languages such as Fortran, C++, and Bash is an advantage. Experience in field instrumentation or other demonstration
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. LanguagesENGLISHLevelExcellent Research FieldMathematics » Applied mathematicsComputer science » Informatics Additional Information Benefits Excellent opportunities for conducting high-quality research as part of a highly
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., inversion products, mode constraints, forward modelling, or comparable observational–simulation comparison frameworks). Experience working with large HPC-produced datasets and/or high-performance computing
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biophysical assays (e.g., micropipette aspiration, atomic force microscopy), and help establish robust protocols for force mapping in early embryos. Perform spatially resolved proteomic imaging to link gene